Evidence map›Paper›PMID 37016627›Full record

ArticleJournal of agriculture and food research2023

Does the female-headed household suffer more than the male-headed from Covid-19 impact on food security? Evidence from Ethiopia.

Lingerh Sewnet Akalu, Huashu Wang

Abstract read
In one paragraph

Article in Journal of agriculture and food research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lingerh Sewnet AkaluUniversity of Gondar, Ethiopia.
Huashu WangGuiZhou University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Covid-19 pandemic and accompanying policy measures affected women's economic and social lives differently from men. However, its effect on the food security situation of women and men remains unclear. This study investigated whether female-headed households suffer more from covid 19 impact on food security than male-headed households in Ethiopia using the World Bank High Frequency Phone Survey data. Food Insecurity Experience Scale (FIES) is applied to measure food insecurity and multilevel-mixed effect random intercept linear model is used to analyze the determinants. The survey data show that, during the pandemic in 2020, nearly 27% of households face moderate or severe food insecurity and close to 6% face severe food insecurity. Regression results revealed that the pandemic and accompanying policy measures affected food security of female-headed households differently from male-headed households. The likelihood of female-headed households experiencing moderate or severe food insecurity is significantly higher by 5.7% points than male-headed households. Education level of the household head is the critical determinant of women's food insecurity. Every additional year of education of female heads has a significantly higher impact in reducing the likelihood of experiencing food insecurity than that of male-headed households. It is also found that having access to basic food items reduces the likelihood of facing moderate or severe food insecurity by 7.4% points. Besides, education level of the household head, income change and family size are critical determinants for food insecurity of the sample households. It is recommended that stakeholders and policy makers focus in the gender aspect while designing policy measures to control pandemics and fucus on improving accessibility of basic needs such as food items to all.

Indexed as

Covid-19 pandemicEthiopiaFemale-headed householdFood insecurityFood insecurity experience scale (FIES)

Identifiers

PMID37016627
PMCPMC10041883

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.